Techniques for structuring analytical and persuasive responses to business problems in interviews and real world settings. Covers the end to end approach: clarifying the situation and objectives, scoping and prioritizing issues, forming a hypothesis, and building a logical, mutually exclusive and collectively exhaustive breakdown or issue tree. Includes common case interview frameworks such as profitability analysis, market entry, pricing, growth and operations, as well as business case components like problem statement, proposed solutions, cost benefit analysis, financial metrics such as return on investment and payback period, implementation plan, risk identification and mitigation, stakeholder impact, and success metrics. Emphasizes quantitative estimation and back of the envelope calculations, qualitative considerations such as competitive positioning and customer impact, synthesis into a clear recommendation, and communication techniques for telling a compelling business story under time pressure.
MediumTechnical
0 practiced
Given: ARPU = $12/month, gross margin = 70%, monthly churn = 4% (0.04), CAC = $100. Calculate LTV using a simple perpetual model, compute the LTV:CAC ratio, and interpret whether acquisition appears efficient. State assumptions and limitations of this model.
MediumSystem Design
0 practiced
Design a weekly dashboard to monitor promotional campaign effectiveness across email and paid channels. List required KPIs (e.g., incremental revenue, conversion lift, CAC), suggested visualizations, segmentation dimensions (new vs returning, geography, cohort), data sources, sample filters, and how you'd determine whether observed lift is statistically significant.
HardTechnical
0 practiced
Design a MECE-driven prioritization matrix for BI feature requests that combines impact, effort, and strategic fit. Define scoring rubrics for each dimension (example scales), show how to compute weighted scores, and provide an example ranking for five hypothetical requests including handling ties and dependencies.
HardTechnical
0 practiced
Calculate NPV and payback for building a self-serve analytics platform: initial build cost $1,500,000 (year 0), yearly maintenance $200,000, expected labor savings $400,000/year and revenue uplift $600,000/year starting in year 2. Use a discount rate of 8% and compute year-by-year cash flows for 5 years, the NPV of the project and the payback period. Discuss key sensitivities.
EasyTechnical
0 practiced
You are asked to build a weekly dashboard for the Product team to monitor feature adoption. Before building, list the clarifying questions you'd ask stakeholders (audience, decisions, cadence, success criteria), describe how you'd scope the dashboard into must-have vs nice-to-have, and explain how you'd prioritize which features and metrics to include given limited engineering resources and data availability.
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